Earlier this year we introduced a sandbox feature within Humanitarian OpenStreetMap Team Tasking Manager, providing a safe space to practice and experiment with the OpenStreetMap data model. This is built on the foundational work from OpenStreetMap US!
Beyond practice and data privacy, Sandbox setup is already proving to be a data annotation tool for machine learning workflows. Using sandbox, you can capture custom, non-standard schemas and training labels (like marine habitats or specialized features) without conflicting with live OSM data.
Looking ahead, we plan to extend this sandbox environment to handle data conflation, allowing users to bring in external datasets at the task level to compare, validate, and reconcile geometries and attributes against OSM.
A huge thanks to OpenStreetMap US, as well as Sam Woodcock, Kshitij Raj Sharma, Prabin Pathak, Sumit Dahal, Anil Raj Rimal, DK Benjamin, and everyone across the community who contributed to designing, testing, and reviewing this feature.
You can read the full overview on the HOT website here: https://www.hotosm.org/en/news/tasking-manager-sandbox-a-safe-space-to-train-test-and-experiment/
If you run workshops, train mappers, or work with experimental datasets, please test out the Sandbox on the Tasking Manager and let us know your thoughts or feedback!



